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The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
                  for key, record in generator:
                                     ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
                  for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
                                              ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ~~~~~~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
                  with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
                       ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
                  file_obj = fs.open(paths[0], mode)
                File "<string>", line 3, in open
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
                  return self._mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
                  return self._execute_mock_call(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
                  result = effect(*args, **kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
                  tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
                                                               ~~~^^^^^^^^
              TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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py
unknown
__key__
string
__url__
string
[ 34, 34, 34, 71, 84, 32, 110, 111, 105, 115, 101, 32, 97, 117, 100, 105, 116, 32, 118, 105, 97, 32, 115, 116, 114, 111, 110, 103, 32, 86, 76, 77, 32, 106, 117, 100, 103, 101, 46, 10, 10, 70, 111, 114, 32, 101, 97, 99, 104...
scripts/gt_noise_audit
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 71, 101, 110, 101, 114, 97, 116, 101, 32, 82, 50, 32, 99, 114, 111, 112, 32, 116, 114, 97, 105, 110, 105, 110, 103, 32, 100, 97, 116, 97, 46, 10, 10, 77, 111, 116, 105, 118, 97, 116, 105, 111, 110, 58, 32, 82...
scripts/build_r2_crop_train
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 65, 117, 100, 105, 116, 32, 114, 101, 99, 105, 112, 101, 32, 109, 111, 100, 117, 108, 101, 115, 32, 98, 101, 102, 111, 114, 101, 32, 116, 114, 97, 105, 110, 105, 110, 103, 47, 102, 117, 108, 108, 45, 112, 97, 1...
scripts/audit_recipe_fullpath
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 80, 97, 114, 115, 101, 32, 109, 111, 100, 101, 108, 32, 111, 117, 116, 112, 117, 116, 32, 105, 110, 116, 111, 32, 97, 32, 98, 98, 111, 120, 32, 105, 110, 32, 112, 105, 120, 101, 108, 32, 91, 120, 49, 44, 32, ...
scripts/parse_bbox
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 35, 33, 47, 117, 115, 114, 47, 98, 105, 110, 47, 101, 110, 118, 32, 112, 121, 116, 104, 111, 110, 51, 10, 34, 34, 34, 66, 117, 105, 108, 100, 32, 97, 112, 112, 101, 110, 100, 45, 111, 110, 108, 121, 32, 71, 85, 73, 45, 6...
scripts/build_exposure_matched_drag
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 35, 33, 47, 117, 115, 114, 47, 98, 105, 110, 47, 101, 110, 118, 32, 112, 121, 116, 104, 111, 110, 51, 10, 34, 34, 34, 69, 120, 112, 111, 114, 116, 32, 67, 117, 114, 115, 111, 114, 32, 97, 103, 101, 110, 116, 45, 116, 114, ...
scripts/export_cursor_chats
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 81, 119, 101, 110, 45, 115, 116, 121, 108, 101, 32, 105, 110, 102, 101, 114, 101, 110, 99, 101, 32, 102, 111, 114, 32, 83, 99, 114, 101, 101, 110, 68, 114, 97, 103, 32, 100, 114, 97, 103, 45, 115, 116, 97, 114,...
scripts/predict_qwen_drag
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 82, 117, 110, 32, 114, 101, 99, 105, 112, 101, 32, 102, 117, 108, 108, 45, 112, 97, 116, 104, 32, 118, 97, 108, 105, 100, 97, 116, 105, 111, 110, 32, 98, 101, 102, 111, 114, 101, 32, 99, 111, 109, 109, 105, 116...
scripts/run_recipe_fullpath_validation
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 35, 33, 47, 117, 115, 114, 47, 98, 105, 110, 47, 101, 110, 118, 32, 112, 121, 116, 104, 111, 110, 51, 10, 34, 34, 34, 77, 105, 110, 105, 67, 80, 77, 45, 86, 32, 99, 104, 97, 116, 32, 105, 110, 102, 101, 114, 101, 110, 99...
scripts/predict_minicpm_drag
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 80, 114, 101, 112, 97, 114, 101, 32, 82, 50, 32, 104, 97, 114, 100, 32, 115, 116, 114, 101, 115, 115, 32, 115, 101, 116, 58, 32, 99, 114, 111, 112, 44, 32, 97, 115, 112, 101, 99, 116, 45, 114, 97, 116, 105, 1...
scripts/prepare_r2_hardstress
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 65, 103, 103, 114, 101, 103, 97, 116, 101, 32, 82, 50, 32, 104, 97, 114, 100, 45, 115, 116, 114, 101, 115, 115, 32, 112, 101, 114, 95, 115, 97, 109, 112, 108, 101, 32, 109, 101, 116, 114, 105, 99, 115, 32, 98, ...
scripts/r2_hardstress_breakdown
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 82, 101, 108, 97, 120, 101, 100, 32, 98, 98, 111, 120, 32, 114, 101, 115, 99, 111, 114, 105, 110, 103, 32, 102, 111, 114, 32, 109, 111, 100, 101, 108, 115, 32, 116, 104, 97, 116, 32, 119, 114, 97, 112, 32, 99, ...
scripts/rescore_relaxed_bbox
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/train_drag_v2_probe
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/metrics
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/build_weakpoint_recipe_v1
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/audit_recipe_fullpath
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/predict_qwen
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/score_drag
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/train_recipe_overfit_sanity
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/train_minicpm_drag_probe
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/paired_gui_statistics
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/metrics
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/run_r1_hardpool_audit
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/run_recipe_fullpath_validation
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/paired_gui_statistics
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/predict_qwen_drag
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/parse_bbox
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/build_weakpoint_recipe_v1
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/score_screendrag_frozen4327
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/build_exposure_matched_drag
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/train_drag_v2_probe
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/run_r3_visualized_judge
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/rescore_relaxed_bbox
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/train_recipe_sft
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/audit_screendrag_postselection_leakage
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/predict_mmbench_l1_mcq
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/parse_bbox
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/cluster_bootstrap_drag
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/score_drag
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/score_screendrag_frozen4327
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/__pycache__/predict_qwen_drag
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 66, 117, 105, 108, 100, 32, 82, 101, 97, 108, 87, 111, 114, 108, 100, 71, 114, 111, 117, 110, 100, 105, 110, 103, 45, 77, 111, 98, 105, 108, 101, 45, 76, 101, 97, 114, 110, 71, 85, 73, 32, 101, 118, 97, 108, ...
scripts/build_realworld_eval_learngui
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 67, 108, 111, 115, 101, 32, 111, 117, 116, 32, 82, 49, 32, 83, 99, 114, 101, 101, 110, 83, 112, 111, 116, 45, 118, 50, 32, 101, 118, 97, 108, 117, 97, 116, 105, 111, 110, 32, 100, 101, 108, 105, 118, 101, 114, ...
scripts/closeout_r1_screenspot_v2
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/configs/accelerate_fsdp_4gpu
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
null
scripts/configs/accelerate_fsdp_4gpu_zero3
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 83, 99, 114, 101, 101, 110, 83, 112, 111, 116, 45, 118, 50, 32, 109, 101, 116, 114, 105, 99, 115, 58, 32, 102, 111, 114, 109, 97, 116, 95, 118, 97, 108, 105, 100, 44, 32, 99, 101, 110, 116, 101, 114, 95, 104, ...
scripts/metrics
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 82, 117, 110, 32, 82, 51, 32, 104, 97, 114, 100, 45, 110, 101, 103, 97, 116, 105, 118, 101, 32, 106, 117, 100, 103, 101, 32, 119, 105, 116, 104, 32, 116, 104, 101, 32, 99, 97, 110, 100, 105, 100, 97, 116, 101, ...
scripts/run_r3_visualized_judge
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 83, 99, 111, 114, 101, 32, 83, 99, 114, 101, 101, 110, 68, 114, 97, 103, 32, 112, 114, 101, 100, 105, 99, 116, 105, 111, 110, 115, 32, 119, 105, 116, 104, 32, 115, 116, 97, 114, 116, 47, 101, 110, 100, 32, 104,...
scripts/score_drag
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 80, 104, 97, 115, 101, 45, 49, 32, 114, 101, 99, 105, 112, 101, 32, 118, 49, 32, 98, 117, 105, 108, 100, 101, 114, 46, 10, 10, 71, 101, 110, 101, 114, 97, 116, 101, 115, 32, 116, 104, 101, 32, 100, 97, 116, 9...
scripts/build_recipe_v1
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
[ 34, 34, 34, 67, 111, 110, 118, 101, 114, 116, 32, 99, 111, 110, 118, 101, 114, 116, 101, 100, 95, 100, 97, 116, 97, 47, 115, 99, 114, 101, 101, 110, 115, 112, 111, 116, 45, 112, 114, 111, 32, 112, 97, 114, 113, 117, 101, 1...
scripts/prepare_screenspot_pro
hf://datasets/jamie33/g60-mb@a9c453d5a203eba7b1f524ba134201dd98780bf2/01_code_docs.tar.gz
End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

jamie33/g60-mb — g60 workspace backup (2026-09-07)

Private dataset for restoring /home/test/test12/jamietseng on a new server.

Files

  • 01_code_docs.tar.gz — scripts, tools, plans, reports (markdown), paper drafts
  • 02_data_self_collected.tar.part.*.tar — unique drag/slider data + mix-v4 LoRA adapters
  • 03_artifacts_rest.tar.part.*.tar — eval/recipe artifacts (no public probes, no giant SFT shards)
  • 04_selfcollect_env.tar — OSWorld/AgentPlat code and logs (no VM image)
  • G60_MB_BACKUP.md — restore guide
  • SHA256SUMS.txt — checksums

Restore

export HF_TOKEN=...
export HF_ENDPOINT=https://hf-mirror.com   # if huggingface.co is blocked

hf download jamie33/g60-mb --repo-type dataset --local-dir ./g60-mb
cd ./g60-mb
sha256sum -c SHA256SUMS.txt
mkdir -p /path/to/jamietseng
tar -xzf 01_code_docs.tar.gz -C /path/to/jamietseng
cat 02_data_self_collected.tar.part.*.tar | tar -xf - -C /path/to/jamietseng
cat 03_artifacts_rest.tar.part.*.tar | tar -xf - -C /path/to/jamietseng
tar -xf 04_selfcollect_env.tar -C /path/to/jamietseng

Not included

  • Full 32B / 8B SFT checkpoints (~347G)
  • artifacts/data_probes (~25G, public-source probe images)
  • reports/data_viz (~1.5G HTML viz)
  • OSWorld Ubuntu.qcow2 (~35G)
  • Secrets (.secrets/, .claude/, tokens)
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